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Fix compilation problems when using MPI & CUDA #26720

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merged 1 commit into from Mar 21, 2019
Merged

Fix compilation problems when using MPI & CUDA #26720

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3 changes: 2 additions & 1 deletion tensorflow/contrib/mpi/mpi_rendezvous_mgr.cc
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Expand Up @@ -29,6 +29,7 @@ limitations under the License.
#include "tensorflow/core/common_runtime/gpu/gpu_util.h"
#include "tensorflow/core/distributed_runtime/session_mgr.h"
#include "tensorflow/core/distributed_runtime/tensor_coding.h"
#include "tensorflow/core/framework/allocator.h"

namespace tensorflow {

Expand Down Expand Up @@ -122,7 +123,7 @@ void MPIRemoteRendezvous::RecvFromRemoteAsync(
} else {
TensorResponse tr;
tr.InitAlloc(dst_device, recv_args.alloc_attrs);
tr.InitPartial(mpi_response.response());
tr.InitPartial(mpi_response.response(), AllocationAttributes());
const size_t nBytes = tr.tensor().TotalBytes();
void* data = const_cast<void*>(DMAHelper::base(&tr.tensor()));
MPI_Status status;
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2 changes: 2 additions & 0 deletions tensorflow/contrib/mpi_collectives/kernels/ring.cu.cc
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Expand Up @@ -19,6 +19,8 @@ limitations under the License.

#define EIGEN_USE_GPU

#include "tensorflow/core/util/cuda_launch_config.h"

#include "tensorflow/contrib/mpi_collectives/kernels/ring.h"

namespace tensorflow {
Expand Down